Publisher
source

King's College London

PhD studentship

Fully Funded PhD Studentship in Human-Robot Interaction at King's College London King's College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded for 3.5 years, including tuition fees, doctoral stipend, and research support.

Deadline

Jan 11, 2027

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Country

United Kingdom

University

King's College London

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Keywords

Computer Science
Psychology
Biomedical Engineering
Electrical Engineering
Artificial Intelligence
Human-robot Interaction
Robotics
Medical Robotic
ML

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About this position

Fully funded PhD studentship in Human-Robot Interaction at King's College London, linked to the CO-STAR project (C0-designing Socially inTelligent Assistive Robots for Future Healthcare) and led by Dr Oya Celiktutan. The project sits within the Social AI & Robotics Lab (SAIR) and involves collaboration with Guy's and St Thomas' NHS Foundation Trust.

The research focuses on robot learning algorithms with social reasoning capabilities to support safe, adaptive, and socially intelligent human-robot interaction. Core topics include multimodal machine learning, simulation-to-real transfer, and deployment/evaluation on physical robotic platforms in real healthcare environments.

This is a 3.5-year fully funded opportunity covering tuition fees, a doctoral stipend, and research support. It is open to UK and international applicants, and the post specifically encourages applications from candidates from groups underrepresented in robotics and AI.

Location: King's College London, UK.

Deadline: 11 January 2027. Expected start date: October 2027.

Apply using the provided FindAPhD application page and follow the instructions in the posting. Applicants should prepare a CV and indicate their research area.

Funding details

Fully funded for 3.5 years, including tuition fees, doctoral stipend, and research support.

What's required

Open to UK and international applicants. The post seeks candidates interested in human-robot interaction, robot learning algorithms, social reasoning, multimodal machine learning, and simulation-to-real transfer. Applications from underrepresented groups in robotics and AI are especially encouraged.

How to apply

Review the full details and application instructions via the provided FindAPhD link. Prepare and submit your CV and research area information as requested in the post. Apply before 11 January 2027.

More information can be found here

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